Enterprise Account Executive, Manufacturing & Automotive

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As an Enterprise Account Executive, Manufacturing & Automotive based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's manufacturing and automotive industries. You'll own the full sales cycle from prospecting to closing, working with senior leaders at OEMs, tier-1 suppliers, and industrial manufacturers to help them accelerate R&D, optimize production operations, and transform engineering and knowledge work with Anthropic's AI solutions.

• Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's major automotive OEMs, tier-1 and tier-2 suppliers, heavy industry manufacturers, electronics and semiconductor manufacturers, shipbuilding and heavy-equipment companies, and industrial equipment producers
• Build and execute territory plans, identifying high-value opportunities across passenger vehicle and commercial vehicle OEMs, automotive parts suppliers, industrial machinery manufacturers, semiconductor and electronics producers, battery and EV component makers, and materials/chemicals companies
• Lead consultative sales processes with senior stakeholders — including chief engineers, R&D directors, heads of digital transformation, manufacturing engineering leaders, connected-vehicle and software-defined vehicle (SDV) leads, and plant operations executives — positioning AI as a driver for engineering productivity, design and simulation acceleration, supply chain intelligence, factory floor optimization, and in-vehicle/product experiences
• Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions tailored to the rigorous safety, quality, and reliability standards of automotive and manufacturing workflows, while respecting IP protection and data sovereignty requirements
• Stay deeply informed about trends across Korea's manufacturing and automotive sectors and global industry shifts — including electrification, battery technology, SDV, autonomous driving, Industry 4.0, and smart factory initiatives — ensuring Anthropic is consistently positioned as a relevant and forward-thinking partner to companies navigating rapid technological transformation

• 8+ years of enterprise sales experience in Korea with significant exposure to the manufacturing or automotive industry
• A genuine understanding of how product development, manufacturing operations, and engineering organizations work in Korea, including the distinct dynamics of chaebol group structures, affiliate and in-group supplier relationships, long-cycle OEM–supplier partnerships, and the coexistence of established manufacturing excellence with aggressive digital transformation initiatives
• A track record of building trusted relationships with technically sophisticated engineering and manufacturing teams, navigating organizations where chief engineers, R&D leaders, and plant/operations executives hold significant influence over technology decisions alongside traditional IT leadership
• Demonstrated ability to manage complex, multi-stakeholder sales cycles typical of automotive and manufacturing enterprises — where decisions often involve multiple business units, group-affiliate alignment, rigorous POC and evaluation processes, and long-horizon strategic planning

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.